English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Conference Paper

PrivacEye: Privacy-Preserving Head-Mounted Eye Tracking Using Egocentric Scene Image and Eye Movement Features

MPS-Authors
/persons/resource/persons127686

Steil,  Julian
Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society;

External Resource
No external resources are shared
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)
There are no public fulltexts stored in PuRe
Supplementary Material (public)
There is no public supplementary material available
Citation

Steil, J., Koelle, M., Heuten, W., Boll, S., & Bulling, A. (2019). PrivacEye: Privacy-Preserving Head-Mounted Eye Tracking Using Egocentric Scene Image and Eye Movement Features. In K. Krejtz, & B. Sharif (Eds.), Proceedings ETRA 2019. New York, NY: ACM. doi:10.1145/3314111.3319913.


Cite as: http://hdl.handle.net/21.11116/0000-0003-2BC0-4
Abstract
There is no abstract available